Enhancing Weapon detection with Pose Analysis: Leveraging Visual and Body pose Features using Open Pose

Registration ID: IJNRD_221131

Published ID: IJNRD2405286

DOI: Click Here to Get

Sriram C S , Dr. G. Prema Arokia Mary

Deep learning, Pretrained Models, CNN, open pose, Body pose Estimation, Classification, Weapon.

he use of closed-circuit television (CCTV) is essential in modern security systems to proactively identify and address safety threats and potentially dangerous situations, emphasizing the need for early detection. Although deep learning methods have led to the development of automated weapon detection systems with promising results, they often rely heavily on the visual characteristics of weapons. In cases where handguns are barely detectable, the use of body pose information can be beneficial. This paper presents a novel method that integrates weapon appearance with human pose data into a cohesive system. The approach begins by using pose estimation techniques to pinpoint hand regions, which are then cropped and fed as input into the classification model. Achieving an accuracy of 96.39%, this system demonstrates strong capabilities in threat detection. The adaptable nature of this approach allows it to be applied not only in public areas but also in high-security environments, thereby greatly enhancing overall safety and security strategies.

Published Paper   E-Certificate

Sriram C S & Dr. G. Prema Arokia Mary (May-2024). Enhancing Weapon detection with Pose Analysis: Leveraging Visual and Body pose Features using Open Pose. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), c821-c827. https://ijnrd.org/papers/IJNRD2405286.pdf

Volume 9 Issue 5, May-2024

Pages : c821-c827

Paper Reg. ID: IJNRD_221131

Published Paper Id: IJNRD2405286

Downloads: 000122016

Research Area: Information Technology 

Country: coimbatore, tamil nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405286.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405286

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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